Communicative and social consequences of interactions with voice assistants

The growing prevalence of artificial intelligence and digital media in children’s lives provides them with the opportunity to interact with novel non-human agents such as robots and voice assistants. Previous studies show that children eagerly adopt and interact with these technologies, but we have only limited evidence of children’s distinction between artificial intelligence and humans. In this study, the communication patterns and prosocial outcomes of interactions with voice assistants were investigated. Children between 5 and 6 years (N = 72) of age solved a treasure hunt in either a human or voice assistant condition. During the treasure hunt, the interaction partner supplied information either about their knowledge of or experience with the objects. Afterwards, children were administered a sharing task and a helping task. Results revealed that children provided voice assistants with less information than humans and that only the type of information given by a human interaction partner was related to children’s information selection. Sharing was influenced by an interaction between type of information and interaction partner, showing that the type of information shared influenced children’s decisions more when interacting with a human, but less when interacting with a voice assistant. Children in all conditions enjoyed the treasure hunt with the interaction partner. Overall, these results suggest that children do not impose the same expectations on voice assistants as they do on humans. Consequently, cooperation between humans and cooperation between humans and computers differ

Keyword Extraction in Scientific Documents

The scientific publication output grows exponentially. Therefore, it is increasingly challenging to keep track of trends and changes. Understanding scientific documents is an important step in downstream tasks such as knowledge graph building, text mining, and discipline classification. In this workshop, we provide a better understanding of keyword and keyphrase extraction from the abstract of scientific publications.Comment: Workshop proceeding of "Keyword extraction in scientific documents" in SwissText202

FlexCAR- Die Forschungsplattform von morgen

Das FlexCAR besteht aus einer autonom gesteuerten Fahrzeugplattform für die Mobilität von morgen, welche Use-Case-gesteuert als Forschungsdemonstrator fungiert, um neue technologische Features unmittelbar aus dem Forschungsstadium nach dem Plug-and-Play-Prinzip gezielt zu implementieren. Damit kann eine frühzeitige Validierung im Hinblick auf ein künftiges Anwendungspotenzial ermöglicht werden. Offene Soft- und Hardwareschnittstellen sind hier berücksichtigt oder werden weiterentwickelt